Examples
Examples
Try the starting example
- Noise bandwidth (Hz)
- 1000000
- Receiver noise figure (dB)
- 5
- Source temperature (K)
- 290
- Input-referred noise power (dBm)
- -108.975187
Try another scenario
- Noise bandwidth (Hz)
- 1100000
- Receiver noise figure (dB)
- 5
- Source temperature (K)
- 290
- Input-referred noise power (dBm)
- -108.56126
Calculation method
Calculation method
Input-referred noise power (dBm)
10 log10(kB bandwidth × [source T + 290(F−1)] / 1mW), F=10^(NF/10).
Symbols and units
- a
- Noise bandwidth (Hz)
- b
- Receiver noise figure (dB)
- c
- Source temperature (K)
Use the units shown. A list keeps the order in which you enter its values. The symbol ^ means “raised to the power of”.
Assumptions & limits
Assumptions & limits
- Bandwidth, noise figure, temperature. Returns Thermal-noise estimate. All coefficients and observations are user supplied; results describe only the stated mathematical model. Quantities are deterministic calculations from supplied observations and assumptions; no external data is fetched. Supported limits: Finite inputs only; numeric fields bounded as labelled. Lists and JSON records are limited to 256 entries unless a stricter tool bound is stated. No automatic design approval, legal conclusion, treatment recommendation or safety certification. Noise bandwidth (Hz): minimum 1e-12, maximum 1000000000000.0. Receiver noise figure (dB): minimum 0, maximum 100. Source temperature (K): minimum 1e-12, maximum 1000000000000.0.
Are these inputs private?
These calculations run in your browser. A shared link contains the values you choose to share. Only questions submitted to the separate AI finder are sent to OpenAI.
Further reading
Background reading; this does not imply endorsement or independent review of SumFizz.